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Remote Data Science Physics Jobs in Greenville, SC

College Physics Tutor

Greenville, SC ยท Remote

$18 - $40/hr

... science sections. * Conceptual Teaching & Problem-Solving: Skilled at breaking down multi-step ... data. Emphasizes connecting mathematical formulations to physical intuition and applies physics to ...

IB Physics Tutor

Greenville, SC ยท Remote

$18 - $40/hr

Ability to explain IB data booklet formula usage and IA requirements while preparing students for ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

AP Physics 2 Tutor

Greenville, SC ยท Remote

$18 - $40/hr

... data. Emphasizes conceptual reasoning with mathematical justification and connects advanced physics ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

High School Science Tutor

Greenville, SC ยท Remote

$18 - $40/hr

Deep knowledge of biology, chemistry, physics, and earth science concepts covered at the high ... Ability to explain scientific principles, laboratory techniques, and data analysis methods while ...

Astronomy Tutor

Greenville, SC ยท Remote

$18 - $40/hr

... data. Emphasizes quantitative reasoning about cosmic scales and connects astronomy to physics, mathematics, and the history of scientific discovery. * Curriculum Awareness & Adaptive Instruction:

MCAT Tutor

Greenville, SC ยท Remote

$23 - $40/hr

... data interpretation for medical school admissions. * Scientific Reasoning & Analysis Skills: Skilled at teaching integrated science concepts (biochemistry, organic chemistry, physics, biology ...

REGENTS Tutor

Greenville, SC ยท Remote

$18 - $40/hr

... Science, Chemistry, Physics, English Language Arts, US History, and Global History. Ability to ... Guides students through interpreting Regents-style data tables, writing document-based essays ...

Math 3 Tutor

Greenville, SC ยท Remote

$18 - $40/hr

Adapts instruction using graphing technology, data analysis projects, and cumulative review ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

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Remote Data Science Physics information

What is a remote data science physicist?

A Remote Data Science Physics job involves using data science tools, such as statistical analysis, machine learning, and programming, to solve problems or analyze data related to physics, all while working from a remote location. Professionals in this field may work on projects like simulations, data modeling, or research for academic or industry settings. They apply their understanding of physics concepts alongside data science skills to extract meaningful insights from large and complex datasets. This role often requires proficiency in programming languages like Python or R, knowledge of data analysis techniques, and a strong foundation in physics.

What are the key skills and qualifications needed to thrive as a remote data science physicist?

To thrive as a Remote Data Science Physicist, you need a strong background in physics, statistics, and mathematics, typically supported by a relevant degree (such as Physics or Data Science) and experience with data analysis. Proficiency with programming languages like Python or R, machine learning frameworks, and data visualization tools is essential, along with familiarity with cloud-based collaboration platforms. Excellent problem-solving skills, communication, and self-motivation are crucial soft skills for remote work and interdisciplinary collaboration. These skills ensure accurate data-driven insights, effective teamwork, and successful project delivery in a remote environment.

How do remote data science physicists typically collaborate with multidisciplinary teams despite working offsite?

Remote data science physicists often work closely with software engineers, domain scientists, and project managers through virtual collaboration tools such as Slack, Zoom, and cloud-based platforms for data sharing and analysis. Regular online meetings, shared documentation, and version-controlled repositories (like GitHub) are essential for maintaining clear communication and workflow alignment. While remote work offers flexibility, it requires proactive communication and strong organizational skills to ensure seamless integration with the broader research or product development team.

What is the difference between Remote Data Science Physics vs Remote Data Science Engineering?

AspectRemote Data Science PhysicsRemote Data Science Engineering
Required CredentialsPhysics degree, data science certificationsEngineering degree, data science certifications
Work EnvironmentResearch labs, tech companies, academiaTech firms, manufacturing, software companies
Industry UsageScientific research, academia, tech innovationProduct development, systems engineering, software solutions

Remote Data Science Physics focuses on applying physics principles to data analysis and modeling, often in research or scientific contexts. Remote Data Science Engineering emphasizes developing data-driven products and systems within engineering and technology sectors. While both roles require data science skills, their industry applications and focus areas differ significantly.

Can I get a remote data science physics job with a physics degree?

A physics degree can qualify you for remote data science physics roles, especially if you have skills in programming, statistical analysis, and data visualization tools like Python, R, or SQL. Many employers value strong analytical and problem-solving skills, and remote positions often require proficiency in collaboration platforms and self-motivation. Additional certifications or experience in machine learning or data engineering can enhance your prospects in this field.

Can I work remotely as a data scientist?

Remote data science positions are common in the industry, allowing professionals to work from various locations. These roles typically require strong skills in programming, data analysis, and tools like Python or R, and often involve collaboration via online platforms. Many companies offer flexible or fully remote arrangements for data scientists.

What are popular job titles related to Remote Data Science Physics jobs in Greenville, SC?

For Remote Data Science Physics jobs in Greenville, SC, the most frequently searched job titles are:

What job categories do people searching Remote Data Science Physics jobs in Greenville, SC look for?

The top searched job categories for Remote Data Science Physics jobs in Greenville, SC are:

Infographic showing various Remote Data Science Physics job openings in Greenville, SC as of June 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Clinical Data Scientist

RedSail Technologies, LLC

Spartanburg, SC โ€ข On-site, Remote

$140K - $145K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 29 days ago


Key responsibilities

  • Gather and preprocess data from various sources to ensure data quality and reliability.

  • Analyze data through exploration, visualization, and statistical methods to identify patterns and insights.

  • Present findings and insights to stakeholders and collaborate with domain experts to align data analysis with business goals.


Job description

Clinical Data ScientistJob Summary

The RedSail Advantage Solutions has the primary mission to create incremental value streams for RedSail through the development and activation of Clinical, Financial, & Operational Programs that leverage our uniquely integrated technology platforms as well as our associated reach within the targeted market segments. The Clinical Data Scientist, will participate in the making use of RedSail’s data to evaluate and establish various impactful programs to accomplish and assist with the measurement of program effectiveness against the department objectives.

Key Duties
  • Data Collection: Gathering data from various sources, such as databases, APIs, web scraping, and more. This can involve collecting structured and unstructured data.
  • Data Cleaning: Preprocessing the collected data to handle missing values, remove duplicates, correct inconsistencies, and address outliers. This step ensures data quality and reliability.
  • Data Exploration (Exploratory Data Analysis, EDA): Analyzing the main characteristics of the data often through visualization and summary statistics. This helps in understanding data distributions, relationships between variables, and identifying patterns or anomalies.
  • Data Transformation: Modifying data into a suitable format for analysis, such as normalization, standardization, or creating new features (feature engineering).
  • Data Visualization: Creating visual representations of data, such as graphs, charts, and dashboards, to communicate findings effectively. Tools like Matplotlib, Seaborn, and Tableau are commonly used.
  • Statistical Analysis: Applying statistical methods to understand data distributions, test hypotheses, and infer relationships. This can include t-tests, chi-square tests, ANOVA, and regression analysis.
  • Data Communication: Presenting findings, insights, and recommendations to stakeholders through reports, presentations, and storytelling. Effective communication is crucial for decision-making.
  • Collaboration with Domain Experts: Working with professionals from various fields to ensure that the data science approach aligns with business goals and that the results are meaningful and actionable.
  • Keeping Up with Industry Trends: Continuously learning and adapting to new tools, technologies, and methodologies in data science to stay current and effective in the field.
  • Ethical Considerations and Compliance: Ensuring that data usage complies with ethical standards and legal regulations, such as data privacy laws (e.g., HIPAA)
Education/Training
  • Bachelor’s degree in Data Science, Data Engineering, or similar data relevant computer science/software development degree. Doctor of Pharmacy with data credentials or extensive data experience may substitute for formal education in Data Science.
Required Work Skills/Experience
  • Pharma/Pharmacy/Healthcare experience.
  • Experience programming with SQL scripting.
  • Experience with data analytics visualization tools such as PowerBI and Tableau.
  • Ability to transform complex data across multiple platforms into concise datasets.
  • Ability to visualize data in the most effective way possible for a given project or study.
  • Strong analytical and problem-solving skills; inquisitive.
  • Ability to work independently and with team members from different backgrounds and collaborative styles.
  • Excellent attention to detail with critical thinking skills.
Preferred Work Skills/Experience
  • A combination of both Doctor of Pharmacy and degree in Data Science, Data Engineering, or similar data relevant computer science/software development degree (i.e. Pharmacist Data Scientist) strongly preferred.
  • 2 years of experience as a Data Analyst, Data Scientist or Data Engineer.
  • Experience with Pharma/Pharmacy transactions.
  • Experience programming with Python or Go Lang.
Discretionary Judgement
  • Uses independent judgment and discretion based upon the employee’s experience in the position and knowledge of the products, equipment, and services.
  • Uses good judgment and possesses ethical work values.
Physical Demands/Working Conditions/General Employment
  • Moderate or high stress levels may be experienced in the job performance.
  • Position is performed in a general office environment, home office, or approved remote workspace where physical work includes, but is not limited to, sitting, standing, reaching, kneeling, bending, and lifting to 25 lbs.
Equipment
  • Daily use of Microsoft Teams (phone), computer, printer, and other routine office equipment.
  • Must have reliable and consistent internet access.
Safety to Self and Others
  • Little responsibility for the safety of others. Job is performed in an office setting where there are no hazardous materials or equipment.
Working Conditions/Hazards
  • Position is performed in an open office environment or approved remote work location.
Compensation & Total Rewards
  • The anticipated base salary range for this position is $140,000-$145,000 annually. This position is also eligible for an annual target bonus of 4%. Actual compensation will be determined based on factors including relevant experience, skills, qualifications, and geographic location.
  • Benefits include paid time off, medical, dental, and vision insurance, a 401(k) with a 5% company match, a fitness bonus, professional development opportunities, and programs that support overall well-being.
Work Location
  • Hybrid at a RedSail Office
    • Spartanburg, SC
    • Irving, TX
    • Shreveport, LA
    • Oak Brook, IL
    • Cranberry Township, PA
    • Long Island, NY